FMVA · BIDA · MSc Financial Engineering

Quantitative Finance
for the Real World

Financial models, data-driven valuations, and Python-powered tools — built by , MSc candidate in Finance & Financial Engineering.

3+ Years of Financial Modeling
FMVA Certified — CFI Institute
BIDA Business Intelligence & Data Analyst
MSc Finance & Financial Engineering

Featured Projects

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Approach & Methodology

Every project follows a rigorous, end-to-end process from data to decision.

01 Financial Modeling (FMVA)
3-statement models, DCF valuations, LBO structures, and comparable company analyses — built to investment-banking standards. Every assumption is documented, every output is stress-tested with scenario and sensitivity analysis.
02 Data Analysis & Visualization (BIDA)
From raw financial data to boardroom-ready dashboards. Python (Pandas, Matplotlib, Plotly), Excel Power Query, and SQL — used to clean, transform, and surface insights that drive decisions.
03 Quantitative & Derivatives Modeling (MSc)
Stochastic calculus applied in practice: Black–Scholes pricing, Monte Carlo simulation, yield curve bootstrapping, VaR/CVaR estimation, and portfolio optimization via mean-variance theory and Sharpe ratio maximization.
04 Python-Driven Financial Tools
Every model is coded, reproducible, and version-controlled. NumPy for numerical computation, SciPy for optimization, yfinance for market data, and Plotly for interactive output — turning Excel-bound analyses into scalable, automated tools.

Skills & Credentials

Financial Modeling

3-statement · DCF · LBO · Comps · Sensitivity Analysis

Derivatives & Risk

Black–Scholes · Greeks · VaR · CVaR · Monte Carlo

Data Analytics

Python · Pandas · SQL · Power BI · Excel/VBA

Portfolio Theory

Markowitz · Sharpe Ratio · Factor Models · Fixed Income

Looking to collaborate?

Open to internships, research projects, and freelance financial modeling work.

Get in touch

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Full academic background, certifications, and project history in one document.

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